A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order Model

Ultrasound-triggered liposomes designed for specific targeting show promise as a drug delivery system, with the potential to enhance the effectiveness of chemotherapy while minimizing related side effects in clinical settings. This paper aims to model the drug release rate of seven targeted liposome...

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Main Author: Sarkis, Samer S. (author)
Other Authors: Ismail, Sherif (author), Wadi, Ali (author), Abdel-Hafez, Mamoun (author), Husseini, Ghaleb (author)
Format: article
Published: 2025
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Online Access:https://hdl.handle.net/11073/33246
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author Sarkis, Samer S.
author2 Ismail, Sherif
Wadi, Ali
Abdel-Hafez, Mamoun
Husseini, Ghaleb
author2_role author
author
author
author
author_facet Sarkis, Samer S.
Ismail, Sherif
Wadi, Ali
Abdel-Hafez, Mamoun
Husseini, Ghaleb
author_role author
dc.creator.none.fl_str_mv Sarkis, Samer S.
Ismail, Sherif
Wadi, Ali
Abdel-Hafez, Mamoun
Husseini, Ghaleb
dc.date.none.fl_str_mv 2025
2026-03-10T09:54:33Z
2026-03-10T09:54:33Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv S. S. Sarkis, S. Ismail, A. Wadi, M. F. Abdel-Hafez and G. A. Husseini, "A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order Model," in IEEE Transactions on NanoBioscience, doi: 10.1109/TNB.2025.3641838.
1558-2639
https://hdl.handle.net/11073/33246
10.1109/TNB.2025.3641838
dc.language.none.fl_str_mv en_US
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://doi.org/10.1109/TNB.2025.3641838
dc.subject.none.fl_str_mv Chemotherapy drug delivery systems
Ultrasound
Calcein release
Online estimation
Extended Kalman Filter
Cubature Kalman Filter
Variational Bayesian-Based Correntropy Cubature Kalman Filter
dc.title.none.fl_str_mv A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order Model
dc.type.none.fl_str_mv Peer-Reviewed
Published version
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Ultrasound-triggered liposomes designed for specific targeting show promise as a drug delivery system, with the potential to enhance the effectiveness of chemotherapy while minimizing related side effects in clinical settings. This paper aims to model the drug release rate of seven targeted liposomes using a second-order discrete equation rather than the previously used first-order equation. By modeling the rate as second-order, different variants of the Kalman Filter can be applied to estimate the drug release rate. After modeling the equations and fitting the data to a second-order model, the Kalman filter variants, including the Extended Kalman Filter (EKF), Cubature Kalman Filter (CKF), and the Variational Bayesian-Based Correntropy Cubature Kalman Filter (VBMCCKF), were used to estimate the drug release rate. By applying those variants, we can see that the VBMCCKF yields the best tracking performance, combining the VBKF’s adaptive estimation of measurement noise with the MCCKF’s setting of the filter gain to a very small value when an abnormal measurement is found. As a result, the VBMCCKF yielded the lowest Mean Squared Error (MSE) and Root Mean Squared Error (RMSE).
format article
id aus_51e86d7b0543a5a9167565fa60060246
identifier_str_mv S. S. Sarkis, S. Ismail, A. Wadi, M. F. Abdel-Hafez and G. A. Husseini, "A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order Model," in IEEE Transactions on NanoBioscience, doi: 10.1109/TNB.2025.3641838.
1558-2639
10.1109/TNB.2025.3641838
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/33246
publishDate 2025
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order ModelSarkis, Samer S.Ismail, SherifWadi, AliAbdel-Hafez, MamounHusseini, GhalebChemotherapy drug delivery systemsUltrasoundCalcein releaseOnline estimationExtended Kalman FilterCubature Kalman FilterVariational Bayesian-Based Correntropy Cubature Kalman FilterUltrasound-triggered liposomes designed for specific targeting show promise as a drug delivery system, with the potential to enhance the effectiveness of chemotherapy while minimizing related side effects in clinical settings. This paper aims to model the drug release rate of seven targeted liposomes using a second-order discrete equation rather than the previously used first-order equation. By modeling the rate as second-order, different variants of the Kalman Filter can be applied to estimate the drug release rate. After modeling the equations and fitting the data to a second-order model, the Kalman filter variants, including the Extended Kalman Filter (EKF), Cubature Kalman Filter (CKF), and the Variational Bayesian-Based Correntropy Cubature Kalman Filter (VBMCCKF), were used to estimate the drug release rate. By applying those variants, we can see that the VBMCCKF yields the best tracking performance, combining the VBKF’s adaptive estimation of measurement noise with the MCCKF’s setting of the filter gain to a very small value when an abnormal measurement is found. As a result, the VBMCCKF yielded the lowest Mean Squared Error (MSE) and Root Mean Squared Error (RMSE).Friends of Cancer Patients (FoCP)Sheikh Hamdan Award for Medical SciencesAmerican University of SharjahDana Gas Endowed Chair for Chemical EngineeringIEEE2026-03-10T09:54:33Z2026-03-10T09:54:33Z2025Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfS. S. Sarkis, S. Ismail, A. Wadi, M. F. Abdel-Hafez and G. A. Husseini, "A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order Model," in IEEE Transactions on NanoBioscience, doi: 10.1109/TNB.2025.3641838.1558-2639https://hdl.handle.net/11073/3324610.1109/TNB.2025.3641838en_UShttps://doi.org/10.1109/TNB.2025.3641838oai:repository.aus.edu:11073/332462026-03-11T05:27:07Z
spellingShingle A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order Model
Sarkis, Samer S.
Chemotherapy drug delivery systems
Ultrasound
Calcein release
Online estimation
Extended Kalman Filter
Cubature Kalman Filter
Variational Bayesian-Based Correntropy Cubature Kalman Filter
status_str publishedVersion
title A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order Model
title_full A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order Model
title_fullStr A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order Model
title_full_unstemmed A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order Model
title_short A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order Model
title_sort A Variational Bayesian-Based Correntropy Cubature Kalman Filter for Drug Release Estimation Using a Second-Order Model
topic Chemotherapy drug delivery systems
Ultrasound
Calcein release
Online estimation
Extended Kalman Filter
Cubature Kalman Filter
Variational Bayesian-Based Correntropy Cubature Kalman Filter
url https://hdl.handle.net/11073/33246